This paper investigates the feasibility of constructing power-consumption-based sensors for the identification of security threats (e.g. battery-drain attacks) on Android based mobile devices. In particular, this paper proposes a measurement methodology and high-level models for the energy consumption of two very important hardware subsystems in a mobile device, namely the Wi-Fi and the CPU. The measuring methodology and the high-level models are then compared to others described in the literature and validated through actual experiments. Finally, the proposed methodology is tested with an energy oriented variant of the ping-flood attack performed while a legitimate application is running. Experimental results show that the measurement methodology is sound, precise and reliable in detecting the onset of an attack. © 2015 - IOS Press and the authors. All rights reserved.
Measuring and estimating power consumption in Android to support energy-based intrusion detection
MIGLIARDI, MAURO;
2015
Abstract
This paper investigates the feasibility of constructing power-consumption-based sensors for the identification of security threats (e.g. battery-drain attacks) on Android based mobile devices. In particular, this paper proposes a measurement methodology and high-level models for the energy consumption of two very important hardware subsystems in a mobile device, namely the Wi-Fi and the CPU. The measuring methodology and the high-level models are then compared to others described in the literature and validated through actual experiments. Finally, the proposed methodology is tested with an energy oriented variant of the ping-flood attack performed while a legitimate application is running. Experimental results show that the measurement methodology is sound, precise and reliable in detecting the onset of an attack. © 2015 - IOS Press and the authors. All rights reserved.| File | Dimensione | Formato | |
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Migliardi_Measuring_and_estimating_power_consumption_in_Android_to_support_Energy_based_Intrusion_Detection.pdf
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